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Reusable instructions for compatible AI agents.
Field counts come from the latest full-catalog snapshot. A resource can belong to several fields and platforms.
Generate media from scratch with 2026 open-source AI — TTS voiceover (Kokoro / OpenVoice / Piper), image gen (FLUX-schnell / Kolors / Sana / ComfyUI), video gen (LTX-Video / CogVideoX / Mochi / Wan), music (Riffusion / YuE), lipsync talking heads (LivePortrait / LatentSync), OCR (PaddleOCR / Tess...
Modern AI text-to-speech + voice cloning with open-source + commercial-safe models: Kokoro (Apache 2.0, 82M params, realtime on CPU, top TTS Arena ranking, 8+ languages), OpenVoice v2 (MIT, voice cloning), CosyVoice 2 (Apache 2.0, 2025 SOTA cloning from Alibaba), Chatterbox (MIT, Resemble AI zero...
Use when the user asks for explainer or a task matching the examples below. ~60-80s explainer video for any URL — GitHub repo, product page, docs site, blog post, or launch. Canonical workflow for URL walkthroughs. Use when the user asks to "explain this URL / repo / website / product", "make a walkthrough video for [url]", "demo this site", "Loom-style explainer of [url]", "explainer for github.com/...", or "explain this product link". Drives a real browser through the URL, generates an avata
Multimodal RAG over PDFs, web pages, Office files, images, and video; video search; image similarity search; frames, detection, captions; embeddings and vector search stored with your data; audio transcription, podcast summaries; a multimodal agent with tools; agent memory; incremental ML and data pipelines; dataset versioning. One Python backend: tables, computed columns that call models, embedding indexes, incremental updates, versioning, and HTTP. Create tables with pxt schema update. Serve w
3x outlier videos in a niche, their format, and 3 adaptations. Use when picking the next video or asked what is working in a lane.
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